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Published on: February 22, 2017
Inconsistent evolution and growth-survival tradeoffs in Gambusia affinis.
Zachary T Wood1, Eric P Palkovacs2, Michael T Kinnison1
1School of Biology and Ecology, Ecology and Environmental Sciences Program, and Maine Center for Genetics in the Environment, University of Maine, Orono, ME 04469, USA.
Evolution of growth in mosquitofish is consistent across populations, but survival evolution is not, preventing a general growth-survival tradeoff. Local context is key for understanding evolutionary patterns.
Area of Science:
- Evolutionary biology
- Ecology
- Animal behavior
Background:
- Growth-survival tradeoffs are hypothesized as a general mechanism driving prey evolution.
- Understanding these tradeoffs is crucial for predicting evolutionary trajectories.
Purpose of the Study:
- To investigate the evolutionary contributions to growth and survival in western mosquitofish (Gambusia affinis).
- To assess the consistency of evolved growth and survival across populations from different predation environments.
- To determine if a growth-survival tradeoff exists at the population level.
Main Methods:
- Common-reared western mosquitofish from 10 populations with high- and low-predation histories were used.
- Growth and survival rates were measured in controlled pond mesocosm experiments.
Main Results:
- Evolution of growth was consistent: fish from low-predation environments exhibited higher growth.
- Evolution of survival was inconsistent across populations, showing divergence unrelated to ancestral predation.
- The inconsistency in survival evolution precluded a population-level growth-survival tradeoff.
Conclusions:
- The generalizability of contemporary evolution depends on the local context of evolutionary tradeoffs.
- Focusing solely on singular selective agents like predators without considering local context limits insights into broad evolutionary patterns.
Related Concept Videos
Speciation Rates
Limits to Natural Selection
Types of Selection
Life Histories
Hybrid Zones
Mutation, Gene Flow, and Genetic Drift

